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  Home > JCE Print > Journal of Chemical Education > Issues > 1999  > October  >
Research: Science and Education
Nonlinear Fitting to First-Order Kinetic Equations
Ian J. McNaught
School of Chemistry, University of Sydney, Sydney, NSW 2006, Australia
Cover
October 1999
Vol. 76 No. 10
p. 1457
Abstract
The advantages of using nonlinear regression when analyzing first-order kinetic data for which the infinite time reading is unreliable or unavailable are discussed. The importance of correctly weighting the data when linearizing equations is emphasized.
More Information
*  Citation
 McNaught, Ian J. J. Chem. Educ. 1999 76 1457.
*  Keywords
 Physical Chemistry; Computational Chemistry; Kinetics; Laboratory Computing / Interfacing
*  History
 Created:
Last Updated:		 September 6, 1999
June 23, 2005
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